Title

Cyclic Motion Detection For Motion Based Recognition

Authors

Authors

P. S. Tsai; M. Shah; K. Keiter;T. Kasparis

Comments

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Abbreviated Journal Title

Pattern Recognit.

Keywords

CYCLIC MOTION; SPATIOTEMPORAL CURVATURE; MOTION-BASED RECOGNITION; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

Abstract

The motion of a walking person is analyzed by examining cycles in the movement. Cycles are detected using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by specific points on the object as it performs cyclic motion. A large impulse in the Fourier magnitude plot indicates the frequency at which cycles are occurring. Both synthetically generated and real walking sequences are analyzed for cyclic motion. The real sequences are then used in a motion based recognition application in which one complete cycle is stored as a model, and a matching process is performed using one cycle of an input trajectory.

Journal Title

Pattern Recognition

Volume

27

Issue/Number

12

Publication Date

1-1-1995

Document Type

Article

Language

English

First Page

1591

Last Page

1603

WOS Identifier

WOS:A1994QB93700002

ISSN

0031-3203

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